We have been working for many years to setup a robust urinary metabolome analysis pipeline in the laboratory which now has fully maturated. We have shown that we can now analyze the metabolite content of the same sample for over 4 (!) years with high reproducibilitymainly based on a unique internal normalization procedure. We have used this pipeline to identify urinary metabolite biomarkers of disease.

The output is a long list of metabolites when put nicely together look like this :

We tested the pipeline in urine of infants with ureteropelvic junction obstruction and identified 32 metabolic features that combined in a mathematical model predicted with a 76.5% sensitivity and a 85.7% specificity infants with UPJ obstruction (AUC of 0.90) in a new cohort: